Measuring data quality for ongoing improvement a data quality assessment framework

The Data Quality Assessment Framework shows you how to measure and monitor data quality, ensuring quality over time. You'll start with general concepts of measurement and work your way through a detailed framework of more than three dozen measurement types related to five objective dimensions o...

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Detalles Bibliográficos
Autor principal: Sebastian-Coleman, Laura (-)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Burlington : Elsevier Science 2013.
Colección:EBSCO Academic eBook Collection Complete.
Acceso en línea:Conectar con la versión electrónica
Ver en Universidad de Navarra:https://innopac.unav.es/record=b33609354*spi
Descripción
Sumario:The Data Quality Assessment Framework shows you how to measure and monitor data quality, ensuring quality over time. You'll start with general concepts of measurement and work your way through a detailed framework of more than three dozen measurement types related to five objective dimensions of quality: completeness, timeliness, consistency, validity, and integrity. Ongoing measurement, rather than one time activities will help your organization reach a new level of data quality. This plain-language approach to measuring data can be understood by both business and IT.
Descripción Física:1 recurso electrónico
Formato:Forma de acceso: World Wide Web.
Bibliografía:Incluye referencias bibliográficas e índice.
ISBN:9780123977540